Literature Appraisal Effectiveness of Therapy. Measures of treatment effect Statistical significance Odds ratio Relative risk Absolute risk reduction.

Slides:



Advertisements
Similar presentations
Terminology and Jargon Demystified
Advertisements

Step 3: Critically Appraising the Evidence: Statistics for Harm and Etiology.
Extension Article by Dr Tim Kenny
Measures of Effect: An Introduction Epidemiology Supercourse Astana, July 2012 Philip la Fleur, RPh MSc(Epidem) Deputy Director, Center for Life Sciences.
Introduction to Critical Appraisal : Quantitative Research
Critical Appraisal of Systematic Reviews Douglas Newberry.
Critical Appraisal of an Article on Therapy. Why critical appraisal? Why therapy?
ABCWINRisk and Statistics1 Risk and Statistics Risk Assessment in Clinical Decision Making Ulrich Mansmann Medical Statistics Branch University of Heidelberg.
Clinical trial The Way We Make Progress Against Disease Prof. Ashry Gad Mohamed Prof. of Epidemiology College of Medicine & KKUH.
BS Evidence Based Medicine And Atrial Fibrillation.
Critical Appraisal of an Article on Therapy (2). Formulate Clinical Question Patient/ population Intervention Comparison Outcome (s) Women with IBS Alosetron.
The Bahrain Branch of the UK Cochrane Centre In Collaboration with Reyada Training & Management Consultancy, Dubai-UAE Cochrane Collaboration and Systematic.
Using and Teaching Evidence- Based Medicine in Child Psychiatry
Absolute, Relative and Attributable Risks. Outcomes or differences that we are interested in:  Differences in means or proportions  Odds ratio (OR)
 Mean: true average  Median: middle number once ranked  Mode: most repetitive  Range : difference between largest and smallest.
Statistics for clinical research An introductory course.
Evidence Based Medicine and Medical Decision Making Iztok Hozo, Professor of Mathematics Indiana University Northwest European School of Oncology How to.
Analyzing Randomized Control Trial: ITT vs. PP vs. AT Proceedings from Journal club….. Vikash.
Statistics for nMRCGP Jo Kirkcaldy. Curriculum Condensed Knowledge Incidence and prevalence Specificity and sensitivity Positive and negative predictive.
Number Needed to Treat. End Points Baseline Risk is the risk associated with a particular condition Baseline Risk is the risk associated with a particular.
Critiquing for Evidence-based Practice: Therapy or Prevention M8120 Columbia University Suzanne Bakken, RN, DNSc.
How to Analyze Therapy in the Medical Literature (part 2)
Tissue Plasminogen Activator for Acute Ischemic Stroke National Institute of Neurological Disorders and Stroke rt-PA Stroke Study Group.
Understanding real research 4. Randomised controlled trials.
Measures of Association Professor Mobeen Iqbal Shifa College of Medicine.
EBCP. Random vs Systemic error Random error: errors in measurement that lead to measured values being inconsistent when repeated measures are taken. Ie:
November 5, 2014 Matthew Tuck, MD Hospitalist, Veterans Affairs Medical Center Assistant Professor of Medicine, George Washington University.
Mother and Child Health: Research Methods G.J.Ebrahim Editor Journal of Tropical Pediatrics, Oxford University Press.
Stats Facts Mark Halloran. Diagnostic Stats Disease present Disease absent TOTALS Test positive aba+b Test negative cdc+d TOTALSa+cb+da+b+c+d.
Measuring associations between exposures and outcomes
A 1 Physician’s Perspective: The Impact. A 2 Clinician’s Perspective Bartolome R. Celli, MD Professor of Medicine Tufts University Boston, MA.
Centre for Evidence-Based Medicine EBM and E-B Guidelines l EBM integrates evidence, expertise, and the unique biology and values of individual patients.
Patient disposition Dichtl W, et al. Am J Cardiol. 2008;102:743-8 AVR = aortic valve replacement; MDCT = multidetector computed tomographic.
The Heart Outcomes Prevention Evaluation (HOPE) 2 Investigators. N Engl J Med 2006; available at: End pointActive therapy PlaceboRelative.
A Simple Method for Evaluating the Clinical Literature “PP-ICONS” approach Based on Robert J. Flaherty - Family Practice Management – 5/2004.
Risks & Odds Professor Kate O’Donnell. When talking about the chance of something happening, e.g. death, hip fracture, we can talk about: risk and relative.
Vanderbilt Sports Medicine Evidence-Base Medicine How to Practice and Teach EBM Chapter 5 : Therapy.
/ 161 Saudi Diploma in Family Medicine Center of Post Graduate Studies in Family Medicine EBM Therapy Articles Dr. Zekeriya Aktürk
Hypothesis: baseline risk status of the patients and proximity to a recent cardiovascular event influence the response to dual anti-platelet therapy. Patients.
Silaja Cheruvu, R3.  What’s the BEST way to prevent diabetes in high risk patients?  By doing nothing?  With lifestyle changes?  With medication?
1 Risk Benefit and Conclusions George Sledge, MD Indiana University School of Medicine.
PTP 560 Research Methods Week 12 Thomas Ruediger, PT.
CRITICAL APARAISAL OF A PAPER ON THERAPY PROF.JAMAL S.ALJARALLAH.
CRITICAL APPARAISAL OF A PAPER ON THERAPY 421 CORSE EVIDENCE BASED MEDICINE (EBM)
Critical appraisals: Treatment. CLINICAL TRIAL = a prospective study comparing the effect and value of intervention(s) against a control in human beings.
Risk Different ways of assessing it. Objectives Be able to define and calculate: Absolute risk (reduction) Relative risk (reduction) Number needed to.
CRITICAL APARAISAL OF A PAPER ON THERAPY PROF.JAMAL S.ALJARALLAH 1436(2015)
1 Evidence based health SCREENING Dr.Hathaitip Tumviriyakul Diploma Family medicine,Hatyai Hospital Msc. Epidemiology LSHTM,UK.
2 3 انواع مطالعات توصيفي (Descriptive) تحليلي (Analytic) مداخله اي (Interventional) مشاهده اي ( Observational ) كارآزمايي باليني كارآزمايي اجتماعي كارآزمايي.
Number Needed to Treat Alex Djuricich, MD Indiana University School of Medicine Department of Medicine Ambulatory Rotation
EBM R1張舜凱.
HelpDesk Answers Synthesizing the Evidence
Trials Adrian Boyle.
CRITICAL APARAISAL OF A PAPER ON THERAPY
Interventional trials
ارائه :مرجان اكبري كامراني
Dabigatran vs Warfarin in Patients with Atrial Fibrillation – Results
remember to round it to whole numbers
SIGNIFY Trial design: Participants with stable coronary artery disease without clinical heart failure and resting heart rate >70 bpm were randomized to.
SUSTAIN-6 Trial design: Patients with DM2 at high risk for CV events were randomized in a 1:1:1:1 fashion to either semaglutide 0.5 mg, semaglutide 1 mg,
Interpreting Basic Statistics
ASPIRE CLASS 6: Interpreting Results and Writing an Abstract
Jacques Irani  European Urology Supplements 
Therapeutic decisions by number needed to treat and survival gains: a cross-sectional survey of lipid-lowering drug recommendations by Peder A Halvorsen,
A decade after the Surgical Treatment for Ischemic Heart Failure (STICH) trial: Weaving firm clinical recommendations from lessons learned  Robert E.
EBM – therapy Dr. Tina Dewi J , dr., SpOG
Associate Fellow, Centre for Evidence-based Medicine, Oxford
Evidence Based Medicine 2019 A.Bornstein MD FACC Assistant Professor of Medicine Hofstra Northwell School of Medicine Hempstead, Long Island.
Mean changes (standard error) from baseline in A1C (A and B) and body weight (C and D) for patients with type 1 (A and C) or type 2 (B and D) diabetes.
Risk ratio (RR) and number needed to treat (NNT) are time-dependent measures. a) When an intervention is associated with constant relative risk reduction.
Presentation transcript:

Literature Appraisal Effectiveness of Therapy

Measures of treatment effect Statistical significance Odds ratio Relative risk Absolute risk reduction Number needed to treat

Measures of treatment effect Outcome (death) YesNo Controlab Experimentcd

200 Total

Total in each group

Die 10 Total in each group After 1 year

(75) Die 10(90) (Survive) Total in each group + + After 1 year

Risk & Relative Risk

(75) Die 10(90) (Survive)Risk? (a proportion) What is the Total in each group + + After 1 year

(75) Die 10(90) (Survive)Risk Total in each group + + After 1 year

(75) Die 10(90) (Survive)Risk Total in each group + + After 1 year

(75) Die 10(90) (Survive)Risk Total in each group + + After 1 year

(75) Die 10(90) (Survive)Risk % + + After 1 year

(75) Die 10(90) (Survive)Risk % + + After 1 year

(75) Die 10(90) (Survive)Risk % % + +

(75) Die 10(90) (Survive)Risk % % + +

(75) Die 10(90) (Survive)Risk Risk ratio or Relative risk (RR) = % %

(75) Die 10(90) (Survive)Risk Risk ratio or Relative risk (RR) = % %

(75) Die 10(90) (Survive)Risk Risk ratio or Relative risk (RR) = % %

Odds & Odds Ratio

Odds The ratio between the amounts staked by parties in a bet, based on the expected probability either way. The balance of advantage or superiority.

(75) Die 10(90) (Survive)Risk Odds? What about + +

(75) Die (90) (Survive)Risk Odds 10+ +

(75) Die (90) (Survive)Risk Odds 10 1to3 + +

(75) Die 10(90) (Survive)Risk Odds 1to3 + +

(75) Die 10(90) (Survive)Risk Odds 1to3 1to9 + +

(75) Die 10(90) (Survive)Risk Odds 1to3 1to9+ +

(75) Die 10(90) (Survive)Risk Odds 1to3 1to9 Odds Ratio (O.R.) = + +

(75) Die 10(90) (Survive)Risk Odds 1to3 1to9 Odds Ratio (O.R.) = + +

(75) Die 10(90) (Survive)Risk Odds 1to3 1to9 Odds Ratio (O.R.) = + + 3

(75) Die 10(90) (Survive)Risk Odds 1to3 1to9 3 Odds Ratio (O.R.) = + + Risk ratio or Relative risk (RR) = 2.5

Measures of treatment effect influence clinicians decisions Clinicians: – more inclined to treat if the results are presented as relative risk – less inclined to treat if the results are presented as absolute risk reduction Forrow et al. Am J Med 1992;92:121

Control group event rate (CER) = Deaths / Controls Experiment group event rate (EER) = Deaths / Treated Absolute risk reduction (difference) ARR=CER- EER Absolute Risk Reduction

Die 10 Risk % % Absolute Risk Reduction (ARR) = CER EER

Die 10 Risk % % Absolute Risk Reduction (ARR) = %

Number Needed to Treat NNT

Clinical value of measures of treatment effect Number Needed To Treat The odds ratio etc. not easy to understand, especially for patients. The number needed to treat (NNT) to prevent an adverse event is a more clinically relevant measure of the consequences of treatment Sackett DL. EBM 1996; 1: Sinclair JC. J Clin Epidemiol 1994; 47: 881-9

Number Need to Treat (NNT) Out of 100 patients treated 10 died compared to 25 in the placebo group and 15 extra survived. Therefore: To get 1 more patient to survive, 6.7 (100/15) have to be treated.

100/15 1/ 0.15 NNT = 1/ ARR

Die 10 Risk % % Absolute Risk Reduction (ARR) = % NNT= 1/ARR= 1/0.15= 6.7

Q.E.D.

MAGPIE Of the patients treated (5015) 40 fitted compared to 96 in the placebo group (5055) In % Mg 0.8% vs Placebo 1.9% Therefore: ARR 1.8 – 0.8 = 1.1% (11 per 1000) To get 1 more patient to survive, 91 (100/1.1) have to be treated. = NNT